CNS Core: Small: Collaborative Research: Transient characteristics and interference modeling for millimeter-wave communications

CNS 核心：小型：协作研究：毫米波通信的瞬态特性和干扰建模

• 批准号: 1908552
• 负责人: Mai Vu
• 金额: $ 24.92万
• 依托单位: Tufts University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1908552&HistoricalAwards=false
• 关键词: CNS; Core; Small; Collaborative; Research

Millimeter-wave (mmWave) communication is a promising solution to the current global shortage of bandwidth created by the rapidly growing demand for mobile data. While channel modeling and propagation characteristics for mmWave transmissions are fairly well understood, transient channel characteristics including how the hand of a human blocks antennas in a handset requires new, detailed research. Further, the impact and nature of interference in the face of mmWave directional beamforming are yet to be well explored. The key aspects of this proposal dealing with transient channel characterization and interference modeling will directly contribute to the realization of mmWave communications, which is envisioned not only for traditional fixed infrastructure cellular services but also for emerging, more prevalent, new service modes including unlicensed/licensed and mobile usage such as on buses, trains and cars, and peer to peer communications.This proposal advances understanding in several fundamental aspects of mmWave communications. First, the proposal characterizes transient physical effects in mmWave channels such as fading due to human hand, head and body placement when holding phones. This characterization will be carried out with extensive measurements using directional antennas and novel modeling methodology employing finite-state Markov models. These transient channel models will then be integrated into the open-source measurement-based channel simulation platform NYUSIM, which generates realistic mmWave channel impulse responses under a wide range of practical settings. Second, the proposal provides analytical models of the interference distribution in a mmWave cellular system employing beamforming, including explicit probability density functions for the interference power at each receiving antenna element and interference correlation between different antenna elements as well as correlation between interference signals and intended signals. These distributions are parameterized and heavy-tailed in order to capture the large fluctuation in mmWave signals due to strong shadowing and a high probability of NLOS propagation in typical mmWave applications of dense environments. The interference models are verified by comparing with a system simulation using stochastic geometry to model locations of users and base stations and using NUYSIM to generate realistic mmWave channels among all nodes. The proposed research integrates measurement, modeling, theory, and analysis to advance fundamental understanding of mmWave communications, providing a means towards designing and evaluating mmWave communication systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

毫米波（mmWave）通信是解决当前全球带宽短缺的有前景的解决方案，该带宽短缺由对移动的数据的快速增长的需求造成。虽然毫米波传输的信道建模和传播特性已经相当好地理解，但瞬态信道特性（包括人手如何阻挡手机中的天线）需要新的详细研究。此外，在毫米波定向波束成形的情况下干扰的影响和性质还有待很好地探索。该提案的处理瞬态信道表征和干扰建模的关键方面将直接有助于毫米波通信的实现，毫米波通信不仅被设想用于传统的固定基础设施蜂窝服务，而且被设想用于新兴的、更普遍的新服务模式，包括未许可/许可和移动的使用，例如在公共汽车、火车和汽车上，该提议促进了对毫米波通信的几个基本方面的理解。首先，该提案表征了毫米波信道中的瞬态物理效应，例如由于手持电话时人手，头部和身体放置而引起的衰落。这种表征将进行广泛的测量，使用定向天线和新的建模方法，采用有限状态马尔可夫模型。然后，这些瞬态信道模型将被集成到基于测量的开源信道仿真平台NYUSIM中，该平台可在各种实际设置下生成逼真的毫米波信道冲激响应。其次，该提议提供了采用波束成形的毫米波蜂窝系统中的干扰分布的分析模型，包括每个接收天线元件处的干扰功率的显式概率密度函数和不同天线元件之间的干扰相关性以及干扰信号与预期信号之间的相关性。这些分布是参数化的和重尾的，以便捕获由于密集环境的典型毫米波应用中的强阴影和高概率NLOS传播而引起的毫米波信号中的大波动。干扰模型通过与使用随机几何来模拟用户和基站的位置并使用NUYSIM在所有节点之间生成真实的毫米波信道的系统仿真进行比较来验证。拟议的研究整合了测量、建模、理论和分析，以促进对毫米波通信的基本理解，为设计和评估毫米波通信系统提供了一种手段。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Multi-Armed Bandit Load Balancing User Association in 5G Cellular HetNets

5G 蜂窝异构网络中的多臂强盗负载均衡用户关联

• 发表时间: 2020
• 期刊: IEEE Global Communications Conference
• 作者: Alizadeh, A;Vu, M.
• 通讯作者: Vu, M.

Distributed Multi-Agent Deep Q-Learning for Load Balancing User Association in Dense Networks

• DOI: 10.1109/lwc.2023.3250492
• 发表时间: 2023-07
• 期刊: IEEE Wireless Communications Letters
• 影响因子: 6.3
• 作者: Byungju Lim;Mai H. Vu

Distributed User Association in B5G Networks Using Early Acceptance Matching Game

• DOI: 10.1109/twc.2020.3042393
• 发表时间: 2021-04-01
• 期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
• 影响因子: 10.4
• 作者: Alizadeh, Alireza;Vu, Mai
• 通讯作者: Vu, Mai

Reinforcement Learning for User Association and Handover in mmWave-enabled Networks

• DOI: 10.1109/twc.2022.3178767
• 发表时间: 2022
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: A. Alizadeh;M. Vu

A Study of Interference Distributions in Millimeter Wave Cellular Networks

毫米波蜂窝网络中的干扰分布研究

• DOI: 10.1109/comcas44984.2019.8958330
• 发表时间: 2019
• 期刊: Communications and Electronic Systems (COMCAS
• 作者: Alizadeh, Alireza;Vu, Mai;Rappaport, Theodore S.
• 通讯作者: Rappaport, Theodore S.